This project involves developing a basic chatbot using RNN (LSTM). The chatbot is trained on various datasets to handle different types of user interactions. It leverages LSTM's capability to process sequential data, making it effective in understanding and generating natural language responses.
active 2024-07-10 → 2025-03-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 250 days from 2024-07-10 to 2025-03-16. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 8 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| emirkaanozdemr | 4 | 4 | 0 | 0 |
| yarallira | 1 | 0 | 0 | 0 |
| aojibril | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 8 stars here means stars gained during the window, not the repo's star count.